Senior Product Manager, AI Insights & Agentic Analytics

Mondelez España Galletas Production SLU; Madrid; Presencial; EUR 75.000 - 110.000; Jornada completa

Descripción de la vacante

Mondelez International seeks a Senior Product Manager to own the Agentic Insights Generation Layer, overseeing a multi-agent system that analyzes topline drivers and surfaces decision-ready recommendations for global, regional, and local teams.

You will translate business needs into AI agent capabilities, maintain the product backlog, and drive adoption of AI insights across marketing and commercial functions while collaborating with engineering on data pipelines and model orchestration.

Formación

• Experience leading data and AI oriented projects in a CPG context.
• Direct experience designing or delivering agentic AI/workflow solutions – multi-agent orchestration or autonomous reasoning pipelines.
• Strong Agile delivery experience and backlog management.
• Excellent communication skills translating AI concepts to business stakeholders.
• Strategic thinking with cross-functional collaboration.

Responsabilidades

• Own the Agentic Insights Generation Layer end-to-end, defining product vision, roadmap and architecture for a multi-agent system.
• Translate business questions into agent capabilities and gather requirements from global, regional, and local teams.
• Maintain product backlog, user stories, and workflow specifications for AI-based reporting and recommendations.
• Champion adoption of agentic AI capabilities across the organization and drive change management.
• Define success metrics (accuracy, latency, trust) and iterate based on outcomes.
• Manage budget, cadence, and vendor relationships with focus on security and responsible AI.

Descripción del empleo

Mondelez International seeks a Senior Product Manager to own the Agentic Insights Generation Layer, overseeing a multi-agent system that analyzes topline drivers and surfaces decision-ready recommendations for global, regional, and local teams.

You will translate business needs into AI agent capabilities, maintain the product backlog, and drive adoption of AI insights across marketing and commercial functions while collaborating with engineering on data pipelines and model orchestration.